Secure Element Profile Templates for Faster Factory eSIM Loading
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Solution Overview
Problem
The loading of eSIM profiles in mobile devices during factory processes is time-consuming, significantly impacting the efficiency of production, especially when millions of devices are produced monthly.
Innovation Solution
A secure element with a pre-loaded data structure containing common data and placeholders for diversified data, allowing for efficient loading of initial profiles with minimal production impact, where the diversified data is inserted post-production by the manufacturer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complete profiles are loaded into secure elements during factory processes, then the production efficiency is improved, but the time required for memory updates and data insertion increases significantly
Solution Approach 1:
The profile data is segmented into two distinct parts: common data that remains identical across all profiles, and diversified data that varies between profiles. This segmentation allows the common data to be pre-loaded once during manufacturing, while only the smaller diversified data portions need to be updated for each individual profile, dramatically reducing the time required for memory updates during production.
Solution Approach 2:
The common data portion of the profile is pre-loaded into the secure element during the manufacturing process before the device leaves the factory. This preliminary action ensures that the bulk of the profile data is already in place, and only the specific diversified data needs to be inserted later, optimizing both production efficiency and update speed.
2Reliability
If all profile data is stored in the secure element, then the profile completeness is improved, but the complexity of data management increases
Solution Approach 1:
The data structure is segmented into common data and diversified data portions, with each serving distinct purposes. The common data contains static profile information that remains unchanged, while the diversified data contains variable information specific to each profile. This structured segmentation simplifies data management by allowing selective updates of only the diversified portions while maintaining complete profile functionality.
Solution Approach 2:
Different portions of the data structure are assigned different qualities: the common data is designed for stability and reusability across multiple profiles, while the diversified data is designed for flexibility and individual customization. This local differentiation optimizes both profile completeness and management efficiency by treating different data portions according to their specific requirements.
Data Source
AI summary
In accordance with a first aspect of the present disclosure, a secure element is provided that includes a storage unit configured to store a pre-loaded data structure for a profile. The pre-loaded data structure includes first data and one or more placeholders for second data. The first data are common data, and the second data are data which are specific to the profile. The secure element includes a processing unit that, upon or after receiving the profile including the second data from an external entity, is configured to insert second data into the placeholders.